Training

• 5 Jan - 31 Dec 2023 – On-line

  Other Training

  SYMPLE – School of Hydrogeological Modelling 2ed.

  Groundwater Modelling, Calibration, Uncertainty Analysis. The School lasts 1 year and is articulated into 3 sections:
  
  1. Before Modelling (recorded)
  The first part of the School is a kind of “modeller’s toolbox” that can provide some of the basics needed before engaging in numerical modelling. The importance of getting back to the pillars of geology, hydrogeology and maths is surely clear, but it will be even clearer during the practical modelling exercises. Attendance of the courses is up to the individual, according to his/her own interests and personal background.
  
  2. Numerical Modelling (Live)
  The central section of the School is dedicated to hydrogeological modeling, starting from the basic concepts up to the most advanced techniques of uncertainty analysis. The lessons are mainly held live and include tips for the extraction of data information with the maximum efficiency, as well as a review of ICT basics, fundamental components of any modelling process.
  The MODFLOW GUIs used in the exercises are Groundwater Vistas and ModelMuse, free interface from the USGS, in association with PEST(++). The Groundwater Vistas course is held by Daniel Feinstein who provides important insights about MODFLOW, as well as many other related codes, explaining in detail the nuances and settings of several packages. The theory behind calibration and uncertainty analysis is introduced by John Doherty, the author of PEST. The software used in the exercises cover the most recent and innovative approaches developed in the PEST and PEST ++ suites. A wide set of applications helps the understanding of sometimes complex concepts, making use of both GUIs and command line input. A real-world case is analysed to demonstrate data assimilation, uncertainty analysis and its application to decision-support modelling.
  
  3. Modelling with Python (recorded)
  This advanced section is dedicated to the state-of-the-art Python scripting with FloPy and PyEMU explained by a team of experts among which the developers of the software Jeremy White (INTERA) and Mike Fienen (USGS). Codes involved are MODFLOW 6, MODPATH, PEST and PEST++ suites.
  
  The full programme is available at this link: https://hydrosymple.com/programme_EN.pdf.

  Price: 1200-2400 euro, scholarships available for low-income countries

  Organised by SYMPLE.

   https://hydrosymple.com/en/     info@hydrosymple.com

• 12 Jan - 31 Dec 2024 – Online

  Other Training

  SYMPLE – School of Hydrogeological Modelling 3rd ed.

  Hydrogeology, Numerical Modelling, Calibration, Uncertainty Analysis. The School lasts 1 year and is articulated into 3 sections:
  
  1. Before Modelling (recorded)
  The first part of the School is a kind of “modeller’s toolbox” that can provide some of the basics needed before engaging in numerical modelling. The importance of getting back to the pillars of geology, hydrogeology and maths is surely clear, but it will be even clearer during the practical modelling exercises. Attendance of the courses is up to the individual, according to his/her own interests and personal background.
  
  2. Numerical Modelling (Live)
  The central section of the School is dedicated to hydrogeological modeling, starting from the basic concepts up to the most advanced techniques of uncertainty analysis. The lessons are mainly held live and include tips for the extraction of data information with the maximum efficiency, as well as a review of ICT basics, fundamental components of any modelling process.
  The MODFLOW GUIs used in the exercises are Groundwater Vistas and ModelMuse, free interface from the USGS, in association with PEST(++). The Groundwater Vistas course is held by Daniel Feinstein who provides important insights about MODFLOW, as well as many other related codes, explaining in detail the nuances and settings of several packages. The theory behind calibration and uncertainty analysis is introduced by John Doherty, the author of PEST. The software used in the exercises cover the most recent and innovative approaches developed in the PEST and PEST ++ suites. A wide set of applications helps the understanding of sometimes complex concepts, making use of both GUIs and command line input. A real-world case is analysed to demonstrate data assimilation, uncertainty analysis and its application to decision-support modelling.
  
  3. Modelling with Python (recorded)
  This advanced section is dedicated to the state-of-the-art Python scripting with FloPy and PyEMU explained by a team of experts among which the developers of the software Jeremy White (INTERA) and Mike Fienen (USGS). Codes involved are MODFLOW 6, MODPATH, PEST and PEST++ suites.
  
  The full programme is available at this link: https://hydrosymple.com/programme_EN.pdf.

  Price: 1500-2600 euro, scholarships available for low-income countries

  Organised by SYMPLE.

   https://hydrosymple.com/en/     info@hydrosymple.com